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This repository will contain historical data on the Bay Area Rapid Transit, including ridership, fares, and route frequency.

The website for accessing the data online is

Sources I am using for data:

Setting up

This section is for people who want to set up a local mirror of the entertainment and self-education portal (e.g., for development purposes) or want to load up the data into a local database to run their own queries.

Note that the file in access-portal/backend/globalVariables is excluded from the Git repository, but you can modify a corresponding dummy password file at

cp access-portal/backend/globalVariables/{,}
vi access-portal/backend/globalVariables/ # change to add database login info

The database name is present both in and in the Makefile, so if you want a name other than bart, you should edit the name in both places.

You can create the bart database either directly in MySQL or by running this from the root folder of this repository, after updating MYSQL_ARGS in the Makefile (such as -u<username> -p<password>):

make init

Instead of editing the Makefile, you can also pass in the arguments to make:

make MYSQL_ARGS=<args> init

Loading and refreshing data

Once you already have the ese SQL database set up, you can update the MYSQL_ARGS in the Makefile (such as -u<username> -p<password>) and you can then load the data using:

make reset && make read

Instead of editing the Makefile, you can also pass in the arguments to each make:

make MYSQL_ARGS=<args> reset && make MYSQL_ARGS=<args> read

Just refreshing ridership data

If you just want to refresh the ridership data (that we do every few months):

make refresh_ridership

Table sorting

To get files for table sorting, run:

make fetch_table_sorting

You can remove these files with make clean_table_sorting.


To get AnchorJS, run:

make fetch_anchorjs

You can remove these files with make clean_anchorjs.


For the graphing, you need to make sure you have python3 working, and you also need to install some packages. You can install the packages with pip3 as follows:

pip3 install argparse pandas numpy matplotlib

If for whatever reason you don't have pip3 installed, you need to install it first.